Evidence map›Paper›PMID 29542004›Full record

ArticlePrevention science : the official journal of the Society for Prevention Research2019

Inverse Propensity Score Weighting with a Latent Class Exposure: Estimating the Causal Effect of Reported Reasons for Alcohol Use on Problem Alcohol Use 16 Years Later.

Bethany C Bray, John J Dziak, Megan E Patrick, Stephanie T Lanza

Abstract read
In one paragraph

Article in Prevention science : the official journal of the Society for Prevention Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
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  11. Article
  12. Sensitivity and specificity of information criteria.Briefings in bioinformatics · 2020
    Review
  13. Advances in Statistical Methods for Causal Inference in Prevention Science: Introduction to the Special Section.Prevention science : the official journal of the Society for Prevention Research · 2019
    Article
  14. Ensuring Causal, Not Casual, Inference.Prevention science : the official journal of the Society for Prevention Research · 2019
    Article
  15. Alcohol motivations and behaviors during months young adults experience social role transitions: Microtransitions in early adulthood.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2018
    Article
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Bethany C BrayThe Methodology Center, Penn State, 404 Health & Human Development Bldg., University Park, PA, 16802, USA. bcbray@psu.edu.
John J DziakThe Methodology Center, Penn State, 404 Health & Human Development Bldg., University Park, PA, 16802, USA.
Megan E PatrickInstitute for Social Research, University of Michigan, 426 Thompson St., Ann Arbor, MI, 48106, USA.
Stephanie T LanzaThe Methodology Center, Penn State, 404 Health & Human Development Bldg., University Park, PA, 16802, USA.

Funding

Monitoring the Future: Drug Use & Lifestyles of American Youth (Supp1: Nicotine Pouch and E-cigarette Use Among US Adolescents: National Estimates of Brand Use and Flavor Preferences)R01DA001411 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Richard A Miech · 1985 to 2026
$144.9M
Monitoring the Future: A Cohort-Sequential Panel Study of Drug Use, Ages 19-65 - Diversity Supplement (Solberg)R01DA016575 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Megan E. Patrick · 2003 to 2026
$44.6M
THE REFINEMENT &APPLICATION OF MEDICAL DECISION MAKING IN PREVENTION SCIENCESP50DA010075 · NIDA · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI LANZA, STEPHANIE T · 1996 to 2014
$24.5M
Pilot, Mentoring, and Professional Development CoreP50DA039838 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LI, RUNZE · 2015 to 2019
$13.9M
Dynamic Links Between Risk Factors, Substance Use, and Consequences: Ages 18-35R01DA037902 · NIDA · UNIVERSITY OF MINNESOTA · PI PATRICK, MEGAN E. · 2015 to 2018
$1.5M
NIDA NIH HHS P50 DA010075NIDA NIH HHS P50-DA010075NIDA NIH HHS P50 DA039838NIDA NIH HHS P50-DA039838NIDA NIH HHS R01 DA001411NIDA NIH HHS R01-DA001411NIDA NIH HHS R01 DA016575NIDA NIH HHS R01-DA016575NIDA NIH HHS R01 DA037902NIDA NIH HHS R01-DA037902
6 · The paper itself

Abstract

Latent class analysis (LCA) has proven to be a useful tool for identifying qualitatively different population subgroups who may be at varying levels of risk for negative outcomes. Recent methodological work has improved techniques for linking latent class membership to distal outcomes; however, these techniques do not adjust for potential confounding variables that may provide alternative explanations for observed relations. Inverse propensity score weighting provides a way to account for many confounders simultaneously, thereby strengthening causal inference of the effects of predictors on outcomes. Although propensity score weighting has been adapted to LCA with covariates, there has been limited work adapting it to LCA with distal outcomes. The current study proposes a step-by-step approach for using inverse propensity score weighting together with the "Bolck, Croon, and Hagenaars" approach to LCA with distal outcomes (i.e., the BCH approach), in order to estimate the causal effects of reasons for alcohol use latent class membership during the year after high school (at age 19) on later problem alcohol use (at age 35) with data from the longitudinal sample in the Monitoring the Future study. A supplementary appendix provides evidence for the accuracy of the proposed approach via a small-scale simulation study, as well as sample programming code to conduct the step-by-step approach.

Indexed as

AlcoholismCausalityHumansPreventive Health ServicesPropensity ScoreAlcohol useCausal inferenceLatent class analysisMotivesPropensity scoresReasons for drinking

Identifiers

PMID29542004
PMCPMC6139077

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.